Research Data Scientist

Research Data Scientist

Notre Dame, IN, United States

Full-time

Dean of Mendoza College of Business EIC2

The University of Notre Dame is more than a workplace; it is a vibrant, mission‑driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person—mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well‑being, and the opportunity to grow your career while being a force for good in the world.

Whether contributing to world‑class research, shaping the student experience, or supporting the University’s mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Summary

The Mendoza College of Business seeks a Research Data Scientist to serve as the primary technical research support professional for the Mendoza Behavioral Lab (MBL) and will also support other faculty research initiatives. This role bridges IT infrastructure, behavioral experimentation, and research technology, enabling faculty and research teams to design, execute, and analyze high‑quality experimental studies efficiently, securely, and reproducibly. The Research Data Scientist partners closely with Mendoza faculty, Mendoza IT, and Central IT to support experimental workflows, maintain lab technology, and develop robust data pipelines across a wide range of behavioral and business research projects.

• Provide hands‑on technical and IT support for behavioral experiments, including real‑time troubleshooting to ensure smooth study execution and data integrity.
• Consult with faculty to design, develop, and maintain reproducible data workflows using R, Python, and SQL to build software for experiments and applied research projects.
• Integrate and manage data from multiple sources (e.g., surveys, biometric tools, experimental platforms, VR systems) into clean, analysis‑ready datasets.
• Develop and document data pipelines, scripts, and data dictionaries to support replication, long‑term data management, and research continuity.
• Collaborate with MBL program director and research teams to ensure the study design adheres to IRB requirements and campus security standards.
• Partner with Mendoza IT, Central IT, and the Center for Research Computing to ensure compliance with university policies and best practices.
• Stay current with emerging research technologies and data science tools through professional development, training, and conferences.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.
• At least 1–2 years of experience in data science, research computing, or applied data workflows.
• Proficiency in R and/or Python and SQL for data manipulation, integration, and analysis.
• Experience with Amazon Web Services and Google Cloud Platforms.
• Experience managing and integrating datasets from multiple research or enterprise sources.
• Strong analytical, problem‑solving, and workflow design skills.
• Excellent communication, consulting, and documentation skills, with the ability to collaborate across technical and non‑technical teams.
• Commitment to data integrity, security, and compliance in human‑subject research environments.

Preferred Qualifications

• Master’s degree in Data Science, Computer Science, or a related field.
• Experience working in academic research labs or behavioral research settings.
• Familiarity with tools such as iMotions, Qualtrics (including JavaScript customization), and VR platforms.
• Experience integrating behavioral and biometric data with enterprise or large‑scale datasets.
• Knowledge of Windows systems administration and enterprise tools (e.g., Active Directory, SCCM, Intune, Group Policy).
• Demonstrated ability to support complex, multi‑study research environments.

• Final date to receive applications to Apply (subject to change): Sunday, 3/1/26
• Please note: this is a full‑time (40 hours per…